Main
Core Skills
High experience in time series modeling and forecasting, ML modeling and text mining
Languages
Marco Zanotti
I am a machine learning engineer and data scientist with broad knowledge in time series analysis, forecasting, anomaly detection, and econometrics.
I specialized in developing and enhancing business forecasting processes and practices. Over the years I developed and contributed to core forecasting systems in sectors like e-commerce fashion, airline, tourism and travel. I also guided and mentored junior colleagues in developing predictive models that enable accurate forecasting.
I am passionate about advancing the field of forecasting and fostering collaboration between academia and industry. I do academic work in time series forecasting, and I am a member of the International Institute of Forecasters.
Recently I have enjoyed teaching professionals and university students about time series analysis, machine learning, programming, and statistics.
Professional Experience
Data Scientist, Forecasting Specialist
Wanan Luxury
Rome, Italy
current - 2024
- Statistical software development
- R&D Project Leader
Data Scientist
Blogmeter - Shibumi Group
Milan, Italy
2024 - 2021
- Statistical software development
- R&D Project Leader
Data Scientist
T-Voice - Triboo Group
Milan, Italy
2021 - 2020
- Development of client specific data analysis solutions
- Coordination and improvement of R&D activities
- Supervising backend and frontend developments
Junior Data Scientist
Uvet American Express Global Business Travel
Milan, Italy
2020 - 2017
- Development of business R packages
- Development of machine learning and time series models pipelines to forecast travel and airline data
- Business processes automation with OCR solutions
- Management of an opinion mining platform
- Econometric models for business purposes
Data Science Intern
Uvet American Express Global Business Travel
Milan, Italy
2017
Programming
BI & Visualization
Databases
Versioning
CI / CD
Cloud
Teaching Experience
Adjunct Professor
N/A
Italy
current - 2019
I teach modern time series forecasting, machine learning, coding, and statistics in both Master and Bachelor degrees at the University of Milan, and in other major italian universities.
Professional Trainer
N/A
N/A
current - 2019
I offer consultancy and training about forecasting, machine learning, and the development of business specific statistical models. I helped several companies, like Luxottica, Mediaworld, and Blue Panorama Airlines, to improve their forecasting processes and tools.
Publications
On the forecast stability of global forecasting models
University of Milano-Bicocca
N/A
2026
Do global forecasting models require frequent retraining?
University of Milano-Bicocca
N/A
2026
Bridging the Gap: Enhancing Integrated Framing with Idiosyncratic Volatility and Short Selling
University of Bologna, University of Milano-Bicocca
N/A
2025
Climate changing’s effects on Silene acaulis
Norwegian University of Life Sciences
N/A
2025
Conferences & Seminars
On the forecast stability of global forecasting models
International Symposium on Forecasting
Montreal, Canada
2026
Do global forecasting models require frequent retraining?
International Symposium on Forecasting
Beijin, China
2025
Computing Disposition Effect on Financial Market Data
useR! 2021 Conference
Remote
2021
Project Management
Operating Systems
Spoorts & Hobbies
I was a footballer. I played in Italian minor championships until 22.
Now I practice kitesurf, an amazing waterboard sport, and I do canicross with my little friend Milo.
I like manga, boardgames, curling and footgolf.
Made with R and pagedown.
Last updated on March 2025
Education
Ph.D., Statistics
University of Milano-Bicocca
Milan, Italy
2026 - 2022
Research on time series forecasting, cross-learning, forecasting stability, time series foundation models (LLMs), and sustainable AI
Post-graduate, Data Science for Economics, Business and Finance
University of Milan
Milan, Italy
2018
M.Sc., Economics and Finance
University of Milan
Milan, Italy
2017 - 2015
Thesis: Seasonal Analysis and Forecasting Evaluation of Seasonal Models Applied to Air Traffic Demand.
Grade: 110/110 cum laude
B.Sc., Political Sciences and International Relations
University of Parma
ERASMUS, University of Lapland, Rovaniemi, Finland
Parma, Italy
2014 - 2011
Grade: 104/110
Certificates
Certified Courses
N/A
N/A
N/A
- High-Performance Time Series Forecasting, BS University
- Time Series Analysis, CAC IIT
- Python for Machine Learning and APIs, BS University
- Python for Data Science Automation, BS University
- Shiny Web Applications, BS University
- Associate Cloud Engineering, Google
- Macroeconometric Foreasting, IMF
- Financial Market Analysis, IMF
Personal Competences
Organisational and Management
N/A
N/A
N/A
- Project management
- People management: coordination of junior’s activities
- High relational and communication skills
- High resistance to stress